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17 years 4 months ago
Algorithms for Clustering Data
"Cluster analysis is an important technique in the rapidly growing field known as exploratory data analysis and is being applied in a variety of engineering and scientific dis...
A. K. Jain, R. C. Dubes
ISORC
2000
IEEE
15 years 9 months ago
Hierarchical Feedback Adaptation for Real Time Sensor-Based Distributed Applications
This paper presents an innovative hierarchical feedback adaptation method that efficiently controls the dynamic QoS behavior of real-time distributed data-flow applications, such ...
Mihaela Cardei, Ionut Cardei, Rakesh Jha, Allalagh...
PAMI
2008
197views more  PAMI 2008»
15 years 5 months ago
LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
Jorge M. Santos, Joaquim Marques de Sá, Lu&...
119
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CLUSTER
2010
IEEE
14 years 9 months ago
Service-oriented execution model supporting data sharing and adaptive query processing
Yongwei Wu, Jia Liu, Gang Chen, Qiming Fang, Guang...